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Hands-on workshop, NTAG I2C Plus Brings NFC Connectivity into Consumer Electronics for Tiny Devices
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This lecture will teach you the specifics of NXP's i.MX 8 AUTOSAR MCAL and Safety MCAL products. They render immense benefit to your product development cost and time as there is a shift in the ECU design approach from coding to configuration. They become essential components of the layered architecture of AUTOSAR for many automotive ECU products utilizing i.MX MPUs.
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An Overview on QorIQ Trust Features for Securing Embedded Systems ARM® v8 Virtualization for Layerscape Multicore Communications Processors Logical Abstraction and Resource Management with Layerscape Management Complex Low-Power Wireless Connectivity Solutions for Home Automation NFC Everywhere - The new NFC use cases for your customers Powerful QorIQ Multicore Processors for the New Virtualized Network RF Power Solutions for Industry-Avionics-Military-Cooking-Cellular Markets (L Gauthier) Scalable Multicore QorIQ Layerscape Processors Scalable Multicore QorIQ Layerscape Processors Based on 64-bit Software Environment for Enterprise, Home and Industrial Applications (H Cohen) Solutions for the Wearable Market QorIQ Layerscape LS2085/88 Multicore Communications Processors For the Future of Networking QorIQ LS2 Series: AIOP, WRIOP, DPAA2 - High-Performance Datapath and Network Peripheral Interfaces VORTIQA INTELLIGENT VIRTUALIZATION ACCELERATION SOFTWARE (IVAS)
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With the secure CAN transceiver, NXP offers a very efficient hardware based security solution for CAN Networks, complementing the overall NXP 4+1 layered security approach. This sessions clarifies, the different use cases and how STINGER helps on system level for a highly efficient solution.
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Learn how to go from an IoT idea to a proof-of-concept as easy as 1-2-3 for a connected, secure, small-form factor IoT end node. The Rapid IoT kit integrates 30+ active components (11 NXP parts) with drivers, middleware, example applications and features an innovative web IDE with GUI-based programming, as well as mobile App and IoT cloud services.
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Automotive i.MX 8/8X Overview  Artificial Intelligence, Enabling Technologies, Security & Solutions Achieving End-to-end Security Starting with Secure Boot  Computing at the Edge - When, Why and How  Hands-On Workshop: Crossover MCU Memory Expansion Advantage: Designing with Execute in Place Serial Flash   i.MX RT Execute in Place Serial Flash Lab Guide.pdf  Hands-On Workshop: Learn to Get Up and Running Fast with MCUXpresso Software and Tools  AMF-ENT-T3024 - Lab 2 - Getting Started with MCUXpresso.pdf  Hands-On Workshop: Leveraging MCUXpresso SDK Examples within Your Designs  AMF-ENT-T3025 - SDK Examples - Labs 1-5.pdf  Hands-On Workshop: Using MCUXpresso Software and Tools with Amazon Web Services (AWS)  AMF-ENT-T3026 - AWS Shadow - Labs 1-2.pdf  AMF-ENT-T3026 - AWS Greengrass - Labs 3-4.pdf  Smart Machinery & Industrial Automation Hands-On Workshop: Get Your Motor Spinning with Kinetis Motor Suite and DC Motor Control Solutions from NXP  AMF-IND-T3033 - 2018 KMS Custom Hardware LAB Guide 1.pdf  NFC in Industrial and Healthcare - More Use Cases Than You Imagine  Time Sensitive Networking (TSN) and Precision Time Protocol (PTP): Challenges, Opportunities and Solutions  Smarter World Solutions & Multimode Connectivity Amazon Alexa Voice Services  Hands-On Workshop: i.MX RT Overview and Training  Identification and Authentication of Consumables and Accessories  i.MX 8M - Next-Generation of Applications Processors for High Performance, Smart Design and Advanced Multimedia  Introduction of NXP Wireless Charging  NXP BLE Low-Power Solutions for Consumer, Medical, Industrial IoT and Automotive Markets  NXP Connectivity Solutions for Smart Home, Building and Lighting  Rapid IoT Prototyping Kit 
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Review of NXP’s current CAN portfolio and CAN functions, our support for CAN FD and an overview of the breakthrough products keeping CAN highly relevant for the new generation of vehicles.
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This class will explain several software solutions offered for the i.MX 8. SafeAssure software allows for a system partitioning that takes full advantage of the ability of some of the safety features of the i.MX 8. Fast Path software allows to route/bridge data between 2 network interfaces in order to maximize data routing performance with minimum CPU load requirements to the main processor. Trusted Environment allows for fully leveraging the Arm® Trustzone capability.
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With over half a billion parts shipped to date, i.MX applications processors transform interactions in ways you never imagined. Learn about the i.MX portfolio and enablement that offer multicore solutions for multimedia and display applications with high-performance and low-power capabilities that are scalable, safe, and secure. 
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You will learn on edge computing application, showing technical challenge to "manage" gateway and security, Layerscape microprocessors solutions including EdgeScale framework in cloud services context.
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This class will provide an overview of the i.MX RT series, key peripheral, including a hands-on tutorial using the i.MX RT EVK.
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The presenter explains the key principles for localizing objects and gives a description of the silicon IP that is included in the KW devices and supports localization. Algorithms such as RSSI, Time-of-Flight and AoA/AoD are clearly described and examples of implementation are provided through the delivery of test results obtained on devices such as the KW35 and KW36. Partnership with external companies is also mentioned so that support can be obtained companies having a long experience in his technical domain.
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EUF-MHW-T1748 - This session will give an overview of the wearables for the IoT.
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A key challenge to the deployment of Edge compute IoT is management and security of 1000s to millions of Edge compute nodes and the software that is running on them. NXP’s EdgeScale technology simplifies this by providing a cloud-based management framework leveraging the hardware security features of NXP Layerscape and i.MX processors. This instructor-led session will demonstrate how to install AWS Greengrass and Azure IoT Edge software on NXP processors using the NXP EdgeScale cloud deployment service, integrate hardware based security and deploy a simple application that collects data, processes it locally and sends updates to the cloud. This session will provide greater understanding of edge computing and cloud computing concepts and technologies.
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As memory interface data rates increase, so does the need for ensuring proper margins have been designed into the system’s usage of that interface. One way Micron has studied the system’s usage of the memory interface is through Timing & Signal Analysis (TSA). A TSA attaches physical hardware to the memory device to observe a subset of the memory interface as operated by the system. Another approach to memory interface is Virtual TSA (vTSA). This method uses the memory controller’s training algorithms to provide margin information without the use of physical test hardware. This method allows characterization of the entire memory interface. This session will compare and contrast the two different methods, and will ultimately demonstrate the value of integrating vTSA tools on the system platform. We intend to reference actual results from the latest i.MX 8 QXP board.
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Artificial intelligence and machine learning (AI/ML) are revolutionizing the industrial world. For maximal impact, AI/ML must be done close to where data is generated and the output of analysis used. It's an ideal workload for edge computing and complements NXP’s EdgeScale cloud-based device-management platform. Layerscape processors are well suited to hosting AI/ML workloads. Software from NXP and third parties helps enable developers to create industrial applications using AI/ML technology. These applications can be distributed, Layerscape-based edge nodes with endpoints performing multiple tasks including: addressing condition monitoring or first-level classification; running popular edge frameworks to deliver cloud-like services on premises, aggregating data from multiple endpoints or performing additional analysis; running cloud-based software analyzing data for long-term trends.
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Automotive and Industrial Battery Management Systems solutions from low to high voltage applications covering key components such as safety battery cell controller, power management, and MCUs.
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Hands-on getting started with S32K. Participants will work with bare metal application code, working with an S32K144 development kit and S32 Design Studio. Short presentations followed by hands-on labs. Learn coding secrets for S32K and Arm® Cortex-M!
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